Food toxicology: some food contaminants, like Bipshenol A, may have impact on Human Health. Our aim is to study potential metabolic effects according to different doses and during critical Human development phases (e.g. pregnancy).

Bioinformatics: developing methods to study genome-scale metabolic
networks. These approaches are mainly based on graph models and constraint based models (e.g. FBA). The aim is to use experimental data like metabolomics ones in order to retrieve parts of the organism
metabolism affected by genetic or environmental perturbations.